Figure Helix 02 targets long-horizon chores under one neural network; 1,000+ training hours support tight-space movement and bimanual lifts.

Deformable object manipulation in robotics is an increasingly critical research area, addressing the challenge of handling materials that do not maintain a fixed shape under manipulation. Unlike rigid ...

Fig. 1(a) illustrates a typical robotic manipulation system. It features a robotic arm equipped with sensors like cameras and end-effectors such as grippers, enabling it to manipulate a wide range of ...

Stuttgart – Researchers from the Max Planck Institute for Intelligent Systems (MPI-IS), the University of Michigan, and Cornell University have demonstrated a breakthrough in microrobotics: swarms of ...

Scientists summarize, compare and contrast research in learned robot manipulation through the lens of adaptability and outline promising research directions for the future. What if a robot could ...

Researchers have compiled a dataset that captures the detailed behavior of a robotic system physically pushing hundreds of different objects. Using the dataset -- the largest and most diverse of its ...

MIT's FluidLab has made significant progress in revolutionizing the fluid manipulation skills of robots, unlocking new potential for intricate tasks. While humans effortlessly interact with various ...